EasyHardClassifier {ClassifyR} | R Documentation

## Container for a Pair of Trained Classifiers

### Description

Stores two classifiers and the ID of the data set each one of them was trained on. Not intended for end-user.

### Constructor

      EasyHardClassifier(easyClassifier, hardClassifier, datasetIDs)

  Creates a EasyHardClassifier object which stores the details of the two underlying classification models.

  `easyClassifier`

    A classifier trained on the easy-to-collect data set by easyHardClassifierTrain. Represented as a list of rules, each of which is also a list.

  `hardClassifier`

    A list of two with names "selected" and "model". The "selected" element should contain the chosen features and the "model" element is for the trained model on the hard-to-collect data set or simply a character vector of length 1 containing a class name, if the prediction of the samples left over from the easy classifier all or all except one belonged to a particular class.

  `datasetIDs`

    A vector of length 2 with names "easy" and "hard" containing the data set IDs from the original `MultiAssayExperiment` input data object for the easy data set and the hard data set.

### Author(s)

Dario Strbenac

### Examples

      predictiveRules <- list(list(feature = "age", relation = "<", value = 18, predict = "Risk"))
      hardClassifier <- DLDAtrainInterface(matrix(rnorm(400), ncol = 20),
                            classes = factor(sample(c("Safe", "Risk"), 20, replace = TRUE)))
      EasyHardClassifier(predictiveRules, list(selected = LETTERS[1:5], model = hardClassifier),
                         setNames(c("clinical", "RNA-seq"), c("easy", "hard")))

[Package ClassifyR version 2.14.0 Index]